For entrepreneurs, AI-generated imagery instruments open up new potentialities for content material personalization and marketing campaign engagement…however solely when utilized in strategic, focused methods.
AI-generated imagery platforms like Flux, Runway, and DALL-E have gotten a precious a part of advertising and marketing, design, and UX toolkits. However with all of the choices out there, it’s typically obscure the place and how these instruments really convey worth — and the place they fall quick.
In a latest Advertising Towards the Grain episode, Kieran and I talk about frequent challenges groups face when utilizing AI picture instruments, sensible use circumstances for optimum efficiency, and finest practices for integrating AI imagery into your workflow.
Three Key Challenges of AI-Generated Picture Adoption
AI picture technology holds large potential — however its adoption isn’t with out hurdles. Particularly, three challenges stopping widespread use that Kieran and I typically see are:
1. Hesitation as a result of privateness and safety issues.
Staff hesitate to interact with AI instruments, typically as a result of issues round privateness, information safety, and AI’s present limitations. Many additionally really feel that AI won’t but be “adequate” for his or her wants.
Addressing these issues begins with clear communication about AI’s strengths and limitations. When groups perceive the place AI can add worth — and the place it could actually’t — they’re extra more likely to interact with it in a practical method.
2. Misaligned expectations.
Customers typically anticipate AI to “do all of it,” resulting in frustration when it falls quick, particularly for duties requiring precision. As Kieran identified, staff typically deal with AI as a “magic field,” which might set them up for disappointment.
By managing expectations and educating groups on how AI works finest, entrepreneurs can shift focus towards the achievable, sensible makes use of that make an influence.
3. A necessity for guardrails.
With such broad potential, many individuals battle to search out the proper functions for AI. As Kieran highlighted throughout the present, an outlined, structured strategy — like having clear AI prompts or focused use circumstances — helps ease adoption by giving staff a clearer sense of objective.
Equally, utilizing guided prompts or simplified interfaces for particular duties could make it simpler for groups to discover AI with out feeling overwhelmed.
Three AI-Generated Picture Use Circumstances in Advertising
Regardless of these challenges, AI picture instruments can have a powerful influence when utilized to focused use circumstances. In our expertise, AI-generated imagery instruments can be utilized to:
1. Enhance advert efficiency.
For my part, one of the efficient functions of AI-generated imagery is creating tailor-made advert variations. Customized photographs that intently align with particular advert copy assist entrepreneurs ship a extra customized expertise throughout totally different platforms.
In our checks at HubSpot, we’ve seen that this strategy considerably boosts conversions, making it a useful software for effectively scaling our advert campaigns.
2. Improve e-mail engagement.
AI may improve engagement in e-mail advertising and marketing by producing distinctive photographs tailor-made to every message.
Mixed with AI-generated textual content, these visuals create a curated and related expertise for readers, including a layer of personalization that retains content material recent and will increase the prospect of connecting with audiences in a deeper, extra memorable method.
This strategy works significantly effectively when it is advisable create distinct visuals for various segments or campaigns at scale.
3. Save time on enhancing.
AI is equally precious for picture enhancing, serving to entrepreneurs rapidly alter visuals to suit totally different viewers wants.
For instance, a know-how firm may use AI to switch product screenshots by including a shopper’s brand or emphasizing particular options.
This tactic permits manufacturers to ship a extra customized visible expertise with out the effort and time required for guide edits, making it a strong choice for scalable, audience-specific content material.
Finest Practices for AI Picture Implementation
Maximizing the worth of AI-generated photographs means figuring out the place and find out how to use them. These pointers will hold your strategy sensible and results-focused.
✔ Outline clear use circumstances. Since AI may be overwhelming, outline particular functions (like buyer help or advert variations) the place it’s most probably to succeed, fairly than attempting to use it universally.
✔ Concentrate on quantity over perfection. AI excels at creating a number of variations fairly than single “good” photographs. If you happen to want one flawless picture, stick to conventional strategies.
✔ Educate groups on AI’s strengths and limits. To enhance adoption, set clear expectations and supply steerage on the place AI is most useful, which may also help tackle resistance as a result of privateness and reliability issues.
✔ Maintain it genuine. Keep away from utilizing AI-generated photographs to characterize actual individuals or clients, as this might harm belief. Save AI imagery for conceptual or product-focused visuals.
To be taught extra about how advertising and marketing leaders can combine AI-generated imagery into their groups and workflows, take a look at the full episode of Advertising Towards the Grain.
This weblog sequence is in partnership with Advertising Towards the Grain, the video podcast. It digs deeper into concepts shared by advertising and marketing leaders Kipp Bodnar (HubSpot’s CMO) and Kieran Flanagan (SVP, Advertising at HubSpot) as they unpack progress methods and be taught from standout founders and friends.